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conley_SE() computes Conley (1999) spatial HAC
variance-covariance matrices for lfe::felm() models, with
support for cross-sectional spatial correlation, serial (temporal)
correlation, and the combined spatial HAC estimator.compute_conley_lfe() convenience wrapper for quick
single-coefficient extraction.lm_sac() all-in-one workflow: regression, Moran’s I
tests, and Conley standard errors, with modelsummary
integration via custom tidy and glance
methods.covgm_range() estimates the spatial correlation range
from the empirical covariogram of regression residuals (Lehner
2026).extract_corr_range() extracts the zero-crossing
distance from a covariogram (gstat::variogram()) or
correlogram (ncf::correlog()).inverseu_plot_conleyrange() diagnostic plot showing how
the Conley SE varies with the bandwidth, revealing the inverse-U
relationship (Lehner 2026).DistMat() kernel-weighted spatial distance matrix
(C++).coords_as_columns() extracts sf point
coordinates into tibble columns.gravity_centroid() computes the (optionally weighted)
geographic centroid of an sf object.grid_FE() assigns observations to spatial grid cells
for use as fixed effects.XeeXhC, Bal_XeeXhC,
XeeXhC_Lg, TimeDist) are implemented in C++
via Rcpp and RcppArmadillo.XeeXhC_Lg)
avoids constructing the full n x n distance matrix when n >
50,000.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.